Mark Fuge
- Computational Theory and Mathematics top 1%
- Materials Chemistry
- Mechanical Engineering top 10%
- Molecular Biology
- Computational Mechanics top 10%
- Co-authors
- Wei ChenZois BoukouvalasPeter W. ChungDaniel C. EltonKevin ChiuAlice M. AgoginoFaez AhmedJun Wang
- Topics
- Design Education and Practice (17 papers)Advanced Multi-Objective Optimization Algorithms (11 papers)Creativity in Education and Neuroscience (7 papers)
- Cited by
- Computational Theory and MathematicsHuman-Computer InteractionComputer Science Applications
- Journals
- Acta MaterialiaComputer Methods in Applied Mechanics and EngineeringIEEE Transactions on Biomedical Engineering
- Partner nations
- United StatesSwitzerlandChile
In The Last Decade
Mark Fuge
67 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Computational Theory and Mathematics 414
- Materials Chemistry 324
- Mechanical Engineering 261
- Molecular Biology 198
- Computational Mechanics 128
Countries citing papers authored by Mark Fuge
This map shows the geographic impact of Mark Fuge's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Fuge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Fuge more than expected).
Fields of papers citing papers by Mark Fuge
This network shows the impact of papers produced by Mark Fuge. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Fuge. The network helps show where Mark Fuge may publish in the future.
Co-authorship network of co-authors of Mark Fuge
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Fuge. A scholar is included among the top collaborators of Mark Fuge based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Fuge. Mark Fuge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | 12 | |
| 15 | 9 | |
| 16 | 96 | |
| 17 | Deep learning for molecular generation and optimization - a review of the state of the art | 9 |
| 18 | 14 | |
| 19 | 12 | |
| 20 | 8 |
About Mark Fuge
Mark Fuge is a scholar working on Computer Science Applications, Business and International Management and Management of Technology and Innovation, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include Design Education and Practice (17 papers), Advanced Multi-Objective Optimization Algorithms (11 papers) and Creativity in Education and Neuroscience (7 papers). The work is most often cited by research in Computational Theory and Mathematics (414 citations), Human-Computer Interaction (76 citations) and Computer Science Applications (69 citations). Mark Fuge has collaborated with scholars based in United States, Switzerland and Chile. Frequent co-authors include Wei Chen, Zois Boukouvalas, Peter W. Chung, Daniel C. Elton, Kevin Chiu, Alice M. Agogino, Faez Ahmed, Jun Wang, Levent Burak Kara and Mehmet Ersın Yümer. Their work appears in journals such as Acta Materialia, Computer Methods in Applied Mechanics and Engineering and IEEE Transactions on Biomedical Engineering.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.